Using the operonic gene pairs for establishing the treshold for correlation coefficient of differently expressed genes

We developed an approach for effective estimating the correlations in the noise component of gene expression data. An efficent noise reduction technique has been suggested. The resulting technique has been applied to E. coli microarray data and tested on SOS response modulated genes.